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Deep Learning - Interview Questions
What is a Bottleneck in autoencoder and why is it used?
The layer between the encoder and decoder, ie. the code is also known as Bottleneck. This is a well-designed approach to decide which aspects of observed data are relevant information and what aspects can be discarded.

Bottleneck

It does this by balancing two criteria :
 
* Compactness of representation, measured as the compressibility.
* It retains some behaviourally relevant variables from the input.
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